Data Analyst to a data driven allocation team in Business Tech

Job Description


Do you want to shape the future of how H&M can use data and analytics in just about everything we do? Are you passionate about analysing and visualising data and how it can empower us in taking even better decisions about our business? Then H&M Group Business Tech can offer you a position that matches your personality and competence!
About the role


We are now looking for a Data Analyst in our new organization Business Tech – in the product area Allocation Precision within the Customer Fulfilment domain. As a Data Analyst, you will work in a cross-functional, multi-competence product team consisting of Engineers and Business Experts. Your mission is to support the team with data as well as business analyses to ensure software solutions are generating actionable and value-enhancing results for our customers and business.
Your insights will drive decision making within the data driven allocation team and supply chain logics that will direct our products from supplier to end customer in the most efficient and sustainable way possible. You have a strong customer focus, a strong commercial mindset and innate curiosity. You will work with advanced analytics tools and large data sets to analyse information, visualize ideas and make recommendations for the future.
Since you will handle a lot of complex data, it is important that you possess the ability to transform it into an easily understandable format for a variety of stakeholders.
As a Data Analyst you have great analytical skills, believe in a non-hierarchical culture of collaboration, transparency, safety, and trust. Our focus is on value creation, growth, and serving customers with full ownership and accountability to deliver exceptional customer and business results.
Responsibilities
Empower stakeholders to improve the customer value through expert analyses of various types of customer data
Analyse and help designing best logic and algorithms for allocation functionality.
Advocate data-driven decision making through for example experimentation and other quantitative analysis
Design advanced analytics solutions together with business stakeholders and product/analytics teams to maximize impact; function as the link and catalyst
Design and visualize the products KPIs and present the what, why and how to improve these.
Support in analysis and verification of model output to improve accuracy of model
Design new ways of working and support roll-out to the organisation
Identify commercial opportunities leveraging data and models.
Provide data insights for technical solutions and system improvements to improve the customer experience based on interpretations
Support the Product Owner in setting the roadmap and strategy for the product team through data-driven insights

We are looking for you with
2+ years of work experience as a business analyst, data analyst, controller (or equivalent) preferably within retail, supply chain or similar
A Bachelor’s or Master’s degree (or equivalent) in Business, Business Engineering, Economics, Data Analytics, Data Science or similar
Good knowledge of data-querying using SQL
The ability to analyze very large amounts of data into clear insights
An analytical, creative and curious mindset in combination with a strong foundation in statistical methods and data processing
Excellent communication skills with the ability to explain data and its implications to a big group of stakeholders
Experience in data visualization, preferably with excellent knowledge of Power BI or Tableau as well as Microsoft Excel
A proven track record of delivering great results
Fluency in English, both spoken and written
Strong in prioritization, execution, and follow-up skills together with a “can-do attitude”
A strong motivation to work in an environment that allows you to work and take decisions independently
A strong customer focus and commercial mindset

It is a benefit if you have one or more of the following:
Knowledge in Python or R preferably
Knowledge and track record from working with SAP
Experience of – and/or high interest in - working with advanced analytics and AI or forecasting methodologies
Experience of agile development methodologies
Experience in supply chain, retail and/or stock management

Our journey will lead to something new and exciting - we will test, fail and learn. You are an important player in this transformation; therefore, we believe you are flexible, stress-resistant and able to work in an environment that is not yet formalized.
What we can offer


At H&M we have a strong, value-driven culture characterized by believing in people, teamwork and an entrepreneurial spirit. Here you can be yourself and develop. You’ll be part of an important project at H&M Group with significant opportunities to influence and make a difference. With the right mindset and ambition, you’ll find plenty of room to grow. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin or background.
If this sounds exciting to you, come join the journey and build the future with us!


This is a full-time position with placement in Stockholm. Please apply with your CV and Personal letter as soon as possible, no later than 26th of March. If you have any questions about the role or the recruitment process, please contact Kristina Dybeck, at Kristina.Dybeck@hm.com.
The H&M group is on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviors are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands.
In Business Tech, we will continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. We explore new ways of working, have a customer focused mindset, embrace our strong values and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world.